<h4>Tool</h4><table border="0"><tr><td valign="top"><b>Name</b></td><td valign="top">Regression Analysis (Points and Predictor Grid)</td></tr><tr><td valign="top"><b>ID</b></td><td valign="top">0</td></tr><tr><td valign="top"><b>Author</b></td><td valign="top">O.Conrad (c) 2004</td></tr><tr><td valign="top"><b>Specification</b></td><td valign="top">grid</td></tr></table><hr><h4>Description</h4>Regression analysis of point attributes with a grid as predictor. The regression function is used to create a new grid with regression based values. 

Reference:
- Bahrenberg, G., Giese, E., Nipper, J. (1990): 'Statistische Methoden in der Geographie 1 - Univariate und bivariate Statistik', Stuttgart, 233p.
<hr><h4>Parameters</h4><table border="1" width="100%" valign="top" cellpadding="5" rules="all"><tr><th>Name</th><th>Type</th><th>Identifier</th><th>Description</th><th>Constraints</th></tr>
<tr><th colspan="5">Input</th></tr><tr><td>Predictor </td><td>Grid (input)</td><td>PREDICTOR</td><td></td><td></td></tr><tr><td>Points </td><td>Shapes (input)</td><td>POINTS</td><td></td><td></td></tr><tr><th colspan="5">Output</th></tr><tr><td>Regression</td><td>Grid (output)</td><td>REGRESSION</td><td></td><td></td></tr><tr><td>Residuals (*)</td><td>Shapes (optional output)</td><td>RESIDUAL</td><td></td><td></td></tr><tr><th colspan="5">Options</th></tr><tr><td>Dependent Variable</td><td>Table field</td><td>ATTRIBUTE</td><td></td><td></td></tr><tr><td>Resampling</td><td>Choice</td><td>RESAMPLING</td><td></td><td>Available Choices:
[0] Nearest Neighbour
[1] Bilinear Interpolation
[2] Bicubic Spline Interpolation
[3] B-Spline Interpolation
Default: 3</td></tr><tr><td>Regression Function</td><td>Choice</td><td>METHOD</td><td></td><td>Available Choices:
[0] Y = a + b * X (linear)
[1] Y = a + b / X
[2] Y = a / (b - X)
[3] Y = a * X^b (power)
[4] Y = a e^(b * X) (exponential)
[5] Y = a + b * ln(X) (logarithmic)
Default: 0</td></tr></table>(*) <i>optional</i>